• Develop novel computer vision formulations, models, and algorithms for a wide variety of tasks.Own the full development life cycle from data preparation to model deployment.
• Perform training of multi-task deep neural networks.
• Design and build data and evaluation pipelines.
• Engineer and ship high quality, reliable software that will be deployed to the real world.
• Collaborate with other Figure team members to develop and continuously improve the full autonomy stack.

• Extensive experience in production-level software & ML engineering and best practices.
• “White-box” understanding of deep learning: model details, loss formulations, and training algorithms.
• Strong mathematical fundamentals in probability, optimization, and linear algebra.
• Domain expertise in at least one of the following areas: 3D reconstruction, depth estimation, neural rendering, object detection, tracking & state estimation, instance and semantic segmentation.
• Comfortable with fundamental geometric concepts in computer vision, such as perspective transformation, pinhole camera model, and epipolar geometry.
• Extensive experience with one of the major deep learning frameworks, preferably PyTorch.
• Capable of quickly writing massive amounts of high quality, well-tested, perception software.
• Thrive in a high pace environment, where solutions are often unclear and require exploration.
• Passionate about building humanoid robots.

• Experience with CUDA and GPU programming.
• Experience with scalable data engineering toolchains such as Spark,Ray, SQL.
• Experience in neural network deployment toolchain and techniques, such as TensorRT and model quantization.
• Publication record of developing and deploying perception solutions.

The US base salary range for this full-time position is between $220,000 – $400,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.